Pearl Millet Crop Biophysical Parameter Retrieval From Space Borne Polarimetric SAR Data Using Machine Learning

Pearl Millet Crop Biophysical Parameter Retrieval From Space Borne Polarimetric SAR Data Using Machine Learning

Abstract The potential of single date fully Polarimetric RADARSAT‐2 data in retrieving crop biophysical parameters using Machine Learning techniques was investigated. Various polarimetric parameters along with coherent and incoherent decomposition techniques were assessed for its sensitivity toward...

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Bibliographic Details
Main Authors: Dharanya Thulasiraman, Dipanwita Haldar, Shashi Kumar, Arun Balaji Ramathilagam, N. R. Patel
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-01-01
Series:Earth and Space Science
Subjects:
coherent and incoherent decomposition
LAI
RFR
MLR
PolSAR
Online Access:https://doi.org/10.1029/2022EA002799

Internet

https://doi.org/10.1029/2022EA002799

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